Package Description Job Reference: 19475Band: DSalary: £49,500-£72,900 depending on relevant skills, knowledge and experience.
The expected salary range for this role reflects internal benchmarking and external market insights.Contract type: PermanentLocation: London, Glasgow, Salford or Newcastle.
This is a hybrid role, and the successful candidate will balance office working with home working.
We're happy to discuss flexible working.
Please indicate your choice under the flexible working question in the application.
There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to.
Flexible working will be part of the discussion at offer stage.
Excellent career progression – the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.
Unrivalled training and development opportunities – our in-house Academy hosts a wide range of internal and external courses and certification.
Benefits - We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym.
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Job Introduction The BBC has been serving audiences online for more than 20 years.
Across key products including BBC iPlayer, News, Sport, Weather and Sounds, we entertain, educate and inform audiences in their millions every day.
But behind the scenes we have work to do.
We are making the shift from being a broadcaster that speaks to our audiences to becoming a service that is directly shaped by them and designed around their wants and needs.
We are creating personalised content, products and services that bring the right content, to the right people, at the right time: a personalised BBC.
This will be our greatest leap since iPlayer, and that's why it's right at the top of our agenda.
At the BBC we see data science as fundamental on that journey.
We use data and machine learning to enrich our content and power personalised experiences for millions of audience members.
We're looking for a Senior Data Scientist to join the Product Growth team in helping accelerate the value unlocked by our existing machine learning products and help the discipline grow into new opportunities.
The successful candidate will be one of the team's key contributors across several exciting projects that enrich the BBC's understanding of its audiences and their product needs.
Interview Process 2 interviews: - A screening call (with the hiring manager) covering motivations for applying- One 90-minute interview, comprising a technical presentation and some behavioural questions covering relevant competencies for the role (with the hiring manager plus a small panel) Main Responsibilities The role of Senior Data Scientist at the BBC is hands-on; you'll use your technical skills to deliver value to BBC audiences.
We are looking for individuals who value both breadth and depth of knowledge.
Senior Data Scientists at the BBC are expected to have impact within their immediate team and beyond, across the wider BBC.
You'll be instrumental in developing machine learning products at BBC scale.
You will become a key contributor within a cross-functional team, using data science and machine learning to solve commercial problems relating to BBC products.
You'll bring experience of being an effective team contributor and making use of your knowledge of different machine learning algorithms to solve complex problems.
You'll have an understanding of data science best practices.
You'll have the opportunity to get involved with the wider data science community, both at the BBC and externally.
We'd love to see enthusiasm about sharing your knowledge and growing others.
Are you the right candidate Essential criteria: • Strong understanding of data science and machine learning techniques, and their applications• Excellent ability to communicate to both technical and non-technical audiences• Good general coding skills, particularly in Python or R• Good knowledge of data science modelling and evaluation best practices• Knowledge of code management and deployment best practicesDesirable experience: • Knowledge of working with cloud services, and the main challenges involved• Proven track record of delivering value in production• Ability to prioritise.
A structured approach and ability to bring others on the journey• Ability to contribute effectively in a cross-functional team• Excited about personal development and learning You are encouraged to apply even if you don't meet every one of the criteria above!